Our leadership team is verbally aligned on building an AI-powered operation, but none of them actually possess the technical or analytical capacity to manage and audit automated workflows. How do we bridge this skills gap on the leadership team?

Question

Tyler Smith · Accepted Answer

It is common for leadership teams to be enthusiastic about AI while lacking the actual capability to execute. Aligning on a vision is useless if your team does not have the capacity to design and audit these automated systems. You must address this skills gap objectively using the GWC™ tool. First, assess each leadership seat on your Accountability Chart. As you transition to an AI-powered operation, the requirements of these seats will change. You must determine if your current leaders have the cognitive capability and conative drive to learn, implement, and manage these new workflows. If they do not, they no longer GWC™ their seats. Second, do not expect your existing leaders to suddenly become technical builders. Their job is to lead, manage, and hold people accountable. If your team lacks technical execution skills, you must create a new seat on the Accountability Chart specifically dedicated to AI integration and automation, or bring in external resources to build the infrastructure. Your current leaders must, however, have the capacity to understand the outcomes of these systems and audit their accuracy. If a leader resists learning how to manage an automated workflow because they prefer manual processes, you have a capacity issue that must be addressed. Bridge this gap through structured training, but be prepared to make hard talent decisions if a leader cannot adapt.